Online MCA in Data Science And BigData Analytics

The degree online MCA in Data Science And BigData Analytics, is the appropriate course to pursue if you aim to make it into the management stream. This covers all facts and theories of management strategies. It trained the individual to help the business in smooth functioning.

online MCA in Data Science And BigData Analytics

Is MCA good for the future?

As a Master of Computer Applications (MCA) graduate, your opportunities are immense. You have the tools and knowledge to pursue a wide range of career paths, whether in data science, software engineering, or artificial intelligence. The possibilities are truly endless.

Is online MCA equivalent to regular MCA?

The answer is yes Online mca is considered equivalent to Regular MCA. In conclusion, while you consider an online MCA course it offers various points of interest, counting adaptability, reasonableness, and openness.

Explore Advanced Career Opportunities

Today`s world is the century of innovation and entrepreneurs. And India is growing at a rapid pace in the business world so it is high time to have trained professionals. This degree makes you fit many domains of business administration.

Earn a High Salary After MCA

After an Online MCA in Data Science And BigData Analytics, you can earn a high payscale by becoming, a management consultant, project manager, or business analyst, and many such options will get open for you. The average salary can be 10 lacs pa to 12 lacs pr

Admission Procedure Of Online

It is 2 years postgraduate degree that can be done by anyone who completed an undergraduate degree from any recognized college or university. Getting admission is a smooth process just you need to choose a college. Any individual with 55% aggregate marks in bachelor's can apply for it.

Admission Procedure

online MCA in Data Science And BigData Analytics Admission process
Eligibility

BCA / B.Tech / B. sc / B.Com / BBA

Duration

Min 2 — Max 4 years

Approvals

UGC, AICTE, NAAC

Procedure to Take Admission in the Online MCA in Data Science And BigData Analytics

Online MCA in Data Science And BigData Analytics Registration processOnline MCA in Data Science And BigData Analytics Registration process

Course Outline

This course will include business planning and entrepreneurship, fundamentals, and advanced business management It is designed in such a way that you can gain a wholesome idea of business administration and growth. And in the last semester, you may need to take practical exposure through internships and projects.

  • Semester 1
  • Advanced Computer Network
  • Advanced Database Management System
  • Communication Skills
  • Design and Analysis of Algorithms
  • Discrete Mathematical Structures
  • Semester 2
  • Advanced Internet Programming
  • Introduction to Machine Learning
  • Parallel and Distributed Computing
  • Python Programming
  • System Programming & Operating System
  • Semester 3
  • Cloud Computing
  • Software Testing & Quality Assurance
  • Web Designing
  • Operational Research
  • Minor Project
  • Semester 4
  • Artificial Intelligence
  • Research Methodology
  • Web Application Development
  • Major Project
  • ------

Other Online MCA Course Specializations

How to Choose the Right University?

Doing MCA from a renowned university is impactful from a career perspective. Before you go for admission in online you must be aware of the right place to apply. Consider these points while looking for a college or university

consult the university rankings
check the course content
Look at your requirements and fee's structure

Differences Between Online MCA and Regular MCA Programs

Both Online MCA and Regular MCA programs aim to equip students with advanced business management skills, but they differ significantly in terms of structure, delivery, flexibility, networking opportunities, and overall experience. Here’s a detailed comparison:

  • Online MCA
  • Delivered primarily online through virtual classrooms, recorded lectures, and digital course materials.
  • Learning is often self-paced with occasional live sessions.
  • Regular MCA
  • Delivered through in-person classes at a physical campus.
  • Involves face-to-face interactions with professors and peers.

Career Opportunities

After completing this course, you can be hired as a data analyst, data scientist, machine learning engineer and business intelligence analyst, etc. You can work in management firms or with start-ups there is a vast pool of opportunities after this degree.

data analyst

data scientist

machine learning engineer

Solutions Architect

business intelligence analyst

Software Consultant

Business Analyst

Technical writer

Database Engineer

MCA Data Science And BigData Analytics FAQ

Important topics like data mining, statistical analysis, machine learning, big data technologies (like Hadoop and Spark), data visualisation, and predictive modelling are covered in the Online MCA in Data Science and Big Data Analytics curriculum. The curriculum is meant to give students the abilities they need to handle and analyse big datasets and come up with useful insights.

Applications for the Online MCA in Data Science and Big Data Analytics normally require a bachelor's degree in any field with an undergraduate or 10+2 background in computer science, statistics, or mathematics. It is preferred for students to have degrees in computer science, business, or similar subjects, while certain colleges may allow students with different backgrounds.

One can work as a data scientist, big data analyst, data engineer, business intelligence analyst, machine learning engineer, or analytics consultant after completing the online MCA in Data Science and Big Data Analytics. These positions are in great demand across a variety of sectors, including e-commerce, technology, banking, and healthcare.

Yes, the AICTE and the University Grants Commission (UGC) recognise the online MCA in data science and big data analytics. Graduates of the program will be well-prepared for careers in the expanding field of data analytics thanks to its industry-relevant curriculum, which incorporates the newest tools and technologies in data science and big data analytics.

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